Save the customers you're about to lose
Identify the accounts most likely to churn — ranked by ARR, with the reasons behind the risk.
average reduction in churn for B2B SaaS customers
What's broken today
Customer Success operates on gut, gets the save call too late.
Health scores are color-coded vibes, not predictions.
Nobody can answer the CFO's "why are they leaving" question with confidence.
Built for the way operators actually work
ARR-weighted risk ranking
We surface the accounts where saving them moves the number most — not just which ones might leave.
Driver-level explanations
Every prediction comes with the top 5 contributing signals, so CSMs walk into the call prepared.
Workflow integration
Push at-risk lists into your CRM, alert in Slack, or build a dashboard for the QBR.
Ask Predict Labs anything
Three steps to your first prediction
Connect product + billing data
Usage events, support tickets, billing history, NPS — we ingest the signals.
Train the model in minutes
Predict Labs auto-trains, validates, and ranks features. You get a model card you can defend.
Operationalize
Push scores into Salesforce, alert your CS team, watch save rate climb.
What you'll need
These are the typical data sources for churn prediction. You don't need every source on day one — start with what you have.
- Billing/subscription data
- Product usage events
- Support ticket history
- CRM account data
Try Churn Prediction on your own data
Free for 14 days. No credit card. No data scientist required.